Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms
Abstract Background Quality of life (QoL) of older adults has become a pivotal concern of the public and health system. Previous studies found that both cognitive decline and neuropsychiatric symptoms (NPS) can affect QoL in older adults. However, it remains unclear how these symptoms are related to...
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BMC
2023-12-01
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Series: | BMC Geriatrics |
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Online Access: | https://doi.org/10.1186/s12877-023-04462-4 |
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author | Chaoqun He Xiangyi Kong Jinhui Li Xingyi Wang Xinqiao Chen Yuanyi Wang Qing Zhao Qian Tao |
author_facet | Chaoqun He Xiangyi Kong Jinhui Li Xingyi Wang Xinqiao Chen Yuanyi Wang Qing Zhao Qian Tao |
author_sort | Chaoqun He |
collection | DOAJ |
description | Abstract Background Quality of life (QoL) of older adults has become a pivotal concern of the public and health system. Previous studies found that both cognitive decline and neuropsychiatric symptoms (NPS) can affect QoL in older adults. However, it remains unclear how these symptoms are related to each other and impact on QoL. Our aim is to investigate the complex network relationship between cognitive and NPS symptoms in older adults, and to further explore their association with QoL. Methods A cross-sectional study was conducted in a sample of 389 older individuals with complaints of memory decline. The instruments included the Neuropsychiatric Inventory, the Mini Mental State Examination, and the 36-item Short Form Health Survey. Data was analyzed using network analysis and mediation analysis. Results We found that attention and agitation were the variables with the highest centrality in cognitive and NPS symptoms, respectively. In an exploratory mediation analysis, agitation was significantly associated with poor attention (β = -0.214, P < 0.001) and reduced QoL (β = -0.137, P = 0.005). The indirect effect of agitation on the QoL through attention was significant (95% confidence interval (CI) [-0.119, -0.035]). Furthermore, attention served as a mediator between agitation and QoL, accounting for 35.09% of the total effect. Conclusions By elucidating the NPS-cognition-QoL relationship, the current study provides insights for developing rehabilitation programs among older adults to ensure their QoL. |
first_indexed | 2024-03-08T22:34:58Z |
format | Article |
id | doaj.art-0bf5b033b9df4f1ebe0d64a7716c4aee |
institution | Directory Open Access Journal |
issn | 1471-2318 |
language | English |
last_indexed | 2024-03-08T22:34:58Z |
publishDate | 2023-12-01 |
publisher | BMC |
record_format | Article |
series | BMC Geriatrics |
spelling | doaj.art-0bf5b033b9df4f1ebe0d64a7716c4aee2023-12-17T12:29:24ZengBMCBMC Geriatrics1471-23182023-12-0123111210.1186/s12877-023-04462-4Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptomsChaoqun He0Xiangyi Kong1Jinhui Li2Xingyi Wang3Xinqiao Chen4Yuanyi Wang5Qing Zhao6Qian Tao7Department of Public Health and Preventive Medicine, School of Medicine, Jinan UniversityChina–Japan Union Hospital of Jilin University, Jilin UniversityDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan UniversityChina–Japan Union Hospital of Jilin University, Jilin UniversityThe First Bethune Hospital of Jilin University, Jilin UniversityThe First Hospital of Jilin University, Jilin UniversityChina–Japan Union Hospital of Jilin University, Jilin UniversityDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan UniversityAbstract Background Quality of life (QoL) of older adults has become a pivotal concern of the public and health system. Previous studies found that both cognitive decline and neuropsychiatric symptoms (NPS) can affect QoL in older adults. However, it remains unclear how these symptoms are related to each other and impact on QoL. Our aim is to investigate the complex network relationship between cognitive and NPS symptoms in older adults, and to further explore their association with QoL. Methods A cross-sectional study was conducted in a sample of 389 older individuals with complaints of memory decline. The instruments included the Neuropsychiatric Inventory, the Mini Mental State Examination, and the 36-item Short Form Health Survey. Data was analyzed using network analysis and mediation analysis. Results We found that attention and agitation were the variables with the highest centrality in cognitive and NPS symptoms, respectively. In an exploratory mediation analysis, agitation was significantly associated with poor attention (β = -0.214, P < 0.001) and reduced QoL (β = -0.137, P = 0.005). The indirect effect of agitation on the QoL through attention was significant (95% confidence interval (CI) [-0.119, -0.035]). Furthermore, attention served as a mediator between agitation and QoL, accounting for 35.09% of the total effect. Conclusions By elucidating the NPS-cognition-QoL relationship, the current study provides insights for developing rehabilitation programs among older adults to ensure their QoL.https://doi.org/10.1186/s12877-023-04462-4Network analysisMediationNeuropsychiatric symptomsCognitionAttentionAgitation |
spellingShingle | Chaoqun He Xiangyi Kong Jinhui Li Xingyi Wang Xinqiao Chen Yuanyi Wang Qing Zhao Qian Tao Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms BMC Geriatrics Network analysis Mediation Neuropsychiatric symptoms Cognition Attention Agitation |
title | Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms |
title_full | Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms |
title_fullStr | Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms |
title_full_unstemmed | Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms |
title_short | Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms |
title_sort | predictors for quality of life in older adults network analysis on cognitive and neuropsychiatric symptoms |
topic | Network analysis Mediation Neuropsychiatric symptoms Cognition Attention Agitation |
url | https://doi.org/10.1186/s12877-023-04462-4 |
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